How to Use the Arcsecond.io MCP in Vercel AI SDK

Q: How do I connect Vercel AI SDK to Arcsecond.io?

Run npm install ai @ai-sdk/mcp in your terminal. Instantiate the connection using createMCPClient({ transport: { type: "http", url: "..." } }). Then pass mcpClient.tools() into streamText and remember to call mcpClient.close() when finished.

Stream live astronomical data directly into your React apps using the Arcsecond.io MCP Server and Vercel AI SDK.

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Connect Arcsecond.io MCP to Vercel AI SDK

Create your Vinkius account to connect Arcsecond.io to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Arcsecond.io with Vercel AI SDK

Ask AI about this MCP

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Claude

Perplexity

Search and stream celestial bodies

Calling `search_objects` triggers a real-time fetch for galaxies or planets directly into your frontend. Vercel AI SDK makes that happen without loading spinners. Your users see the list populate instantly. Once the user clicks a specific star, your agent runs `get_object`. The details stream straight into your Svelte or Next.js UI. This MCP integration means you never write custom polling logic for astronomical coordinates.

Observatory infrastructure live feeds

Managing telescope hardware requires accurate site data pulled via `list_telescopes`. The SDK handles the heavy lifting of piping that JSON directly into your dashboard components. You get the exact hardware lineup on demand. Mapping out physical locations works the same way. The `list_observing_sites` tool grabs the coordinates and metadata for any registered facility. Your Edge Functions resolve the tool call and push the coordinates to your mapping library without dropping a single frame.

Night log data streaming

Triggering `list_night_logs` pulls massive amounts of observation history on demand. Astronomers generate gigabytes of data every night, and you need a way to surface it quickly. The SDK streams these records straight to the client. Pair that with `list_datasets` to give your users a complete picture of what an observatory captured. The MCP Server handles the external API requests. Your Vercel setup just consumes the stream and renders the tables.

Setup guide

Set up Arcsecond.io MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Arcsecond.io tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Arcsecond.io transactions",
});

console.log(text);
await mcpClient.close();

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Arcsecond.io. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Arcsecond.io MCP in Vercel AI SDK

Run `npm install ai @ai-sdk/mcp` in your terminal. Instantiate the connection using `createMCPClient({ transport: { type: "http", url: "..." } })`. Then pass `mcpClient.tools()` into `streamText` and remember to call `mcpClient.close()` when finished.

Yes. The SDK natively supports streaming tool results to React and Next.js. Your client requests the telescope list, and the UI updates as the chunks arrive.

Vercel AI SDK handles timeouts at the edge. You can configure custom abort controllers to cancel the request if the astronomical database hangs.

Pass your filtering criteria as a prompt to the agent. The LLM translates your natural language requirements into the exact parameters required by the night log tool.

Your telescope coordinates and night log metadata stay secure. Vinkius routes the request through a V8 Isolate Sandbox. The server only reads the specific datasets you authorize via your endpoint token.

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